Subject: Subject Sylbus: Perturbation Methods in Machine Learning - 097225

Perturbation Methods in Machine Learning - 097225
Will not be given the year
Credit
Points
2.5
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2 1      

Determination of the grade according to progress during the semester and the submission of the final thesis


Prerequisites: ( Probability (Ie) 094411
and Introduction to Statistics 094423
and Nonlinear Models in Operations Research 096327 )
or ( Probability (Advanced) 094412
and Nonlinear Models in Operations Research 096327
and Data Structures 1 234218 )


Perturbation Methods Allow to Add Statistical Guarantees to Efficient Machine at the End of the Course the Student Will Know:




Textbooks
PublishedPublisherAuthorsBook
2016the mit presstamir hazan, george papandreou, daniel tamir hazan, george papandreou, danielperturbations, optimization and statistics

Created in 06/03/2021 Time 00:32:59